|
16 | 16 | }, |
17 | 17 | { |
18 | 18 | "cell_type": "code", |
19 | | - "execution_count": 4, |
| 19 | + "execution_count": 3, |
20 | 20 | "metadata": {}, |
21 | 21 | "outputs": [ |
22 | 22 | { |
23 | 23 | "name": "stdout", |
24 | 24 | "output_type": "stream", |
25 | 25 | "text": [ |
26 | | - "SNP_29C.bed\n", |
27 | | - "SNP_29C.bim\n", |
28 | | - "SNP_29C.fam\n", |
29 | | - "SNP_29C.jld\n", |
30 | | - "SNP_29C_results.jld\n", |
31 | | - "SNP_29Ctraitdata.csv\n" |
| 26 | + "SNP_29C_VCM/SNP_29C.bed\n", |
| 27 | + "SNP_29C_VCM/SNP_29C.bim\n", |
| 28 | + "SNP_29C_VCM/SNP_29C.fam\n", |
| 29 | + "SNP_29C_VCM/SNP_29C.jld\n", |
| 30 | + "SNP_29C_VCM/SNP_29C_results.jld\n", |
| 31 | + "SNP_29C_VCM/SNP_29Ctraitdata.csv\n" |
32 | 32 | ] |
33 | 33 | } |
34 | 34 | ], |
35 | 35 | "source": [ |
36 | | - ";ls \"SNP_29C*.*\"" |
| 36 | + ";ls \"SNP_29C_VCM/SNP_29C*.*\"" |
37 | 37 | ] |
38 | 38 | }, |
39 | 39 | { |
|
100 | 100 | }, |
101 | 101 | { |
102 | 102 | "cell_type": "code", |
103 | | - "execution_count": 4, |
| 103 | + "execution_count": 2, |
104 | 104 | "metadata": {}, |
105 | 105 | "outputs": [ |
106 | 106 | { |
107 | 107 | "name": "stdout", |
108 | 108 | "output_type": "stream", |
109 | 109 | "text": [ |
110 | | - " 0.551275 seconds (218.60 k allocations: 24.407 MiB, 1.30% gc time)\n" |
| 110 | + " 0.564255 seconds (219.09 k allocations: 24.571 MiB, 1.00% gc time)\n" |
111 | 111 | ] |
112 | 112 | }, |
113 | 113 | { |
|
142 | 142 | " (true, true) (true, true) (false, true) (false, true) " |
143 | 143 | ] |
144 | 144 | }, |
145 | | - "execution_count": 4, |
| 145 | + "execution_count": 2, |
146 | 146 | "metadata": {}, |
147 | 147 | "output_type": "execute_result" |
148 | 148 | } |
149 | 149 | ], |
150 | 150 | "source": [ |
151 | 151 | "# read in genotype data from Plink binary file (~50 secs on my laptop)\n", |
152 | | - "@time SNP_29C = SnpArray(\"SNP_29C\")" |
| 152 | + "@time SNP_29C = SnpArray(\"SNP_29C_VCM/SNP_29C\")" |
153 | 153 | ] |
154 | 154 | }, |
155 | 155 | { |
|
444 | 444 | } |
445 | 445 | ], |
446 | 446 | "source": [ |
447 | | - "ΦGRM_ped = readcsv(\"kinship_ped29c.csv\", Float64; header = false)" |
| 447 | + "ΦGRM_ped = readcsv(\"SNP_29C_VCM/kinship_ped29c.csv\", Float64; header = false)" |
448 | 448 | ] |
449 | 449 | }, |
450 | 450 | { |
|
528 | 528 | "using DataFrames\n", |
529 | 529 | "\n", |
530 | 530 | "SNP_29C_trait = readtable(\n", |
531 | | - " \"SNP_29Ctraitdata.csv\"; header = false,\n", |
| 531 | + " \"SNP_29C_VCM/SNP_29Ctraitdata.csv\"; header = false,\n", |
532 | 532 | " separator = ',',\n", |
533 | 533 | " names = [:FID; :IID; :Trait1; :Trait2], \n", |
534 | 534 | " eltypes = [Int; Int; Float64; Float64]\n", |
|
1055 | 1055 | "source": [ |
1056 | 1056 | "Pkg.add(\"JLD\")\n", |
1057 | 1057 | "using JLD\n", |
1058 | | - "@save \"SNP_29C.jld\"\n", |
| 1058 | + "@save \"SNP_29C_VCM/SNP_29C.jld\"\n", |
1059 | 1059 | "whos()" |
1060 | 1060 | ] |
1061 | 1061 | }, |
|
1145 | 1145 | "source": [ |
1146 | 1146 | "using SnpArrays, JLD, DataFrames, VarianceComponentModels, Plots\n", |
1147 | 1147 | "pyplot()\n", |
1148 | | - "@load \"SNP_29C.jld\"\n", |
| 1148 | + "@load \"SNP_29C_VCM/SNP_29C.jld\"\n", |
1149 | 1149 | "whos()" |
1150 | 1150 | ] |
1151 | 1151 | }, |
|
1902 | 1902 | ], |
1903 | 1903 | "source": [ |
1904 | 1904 | "using JLD\n", |
1905 | | - "@save \"SNP_29C_results.jld\"\n", |
| 1905 | + "@save \"SNP_29C_VCM/SNP_29C_results.jld\"\n", |
1906 | 1906 | "whos()" |
1907 | 1907 | ] |
1908 | 1908 | }, |
|
1991 | 1991 | } |
1992 | 1992 | ], |
1993 | 1993 | "source": [ |
1994 | | - "SNP_29C_genotypes = readcsv(\"genotypes29c.csv\", Float64; header = false)" |
| 1994 | + "SNP_29C_genotypes = readcsv(\"SNP_29C_VCM/genotypes29c.csv\", Float64; header = false)" |
1995 | 1995 | ] |
1996 | 1996 | }, |
1997 | 1997 | { |
|
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